Назад
1 день назад

Staff QE (AI)

148 350 - 203 550$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff QE (AI): Defining testing strategy and building scalable automation for Expert Research workflows, including expert sourcing, call scheduling, compliance, transcript review, and customer portals, with an accent on quality by design, AI-powered features, and release confidence. Focus on designing multi-layer test systems, evaluating AI-led interviews and call synthesis, and influencing engineering teams without direct authority.

Location: Remote - United States

Base compensation: $148,350–$203,550 USD per year, plus potential performance-based bonus, equity, and benefits.

Company

AlphaSense provides an AI-powered market intelligence and workflow orchestration platform with access to more than 500 million business documents and enterprise-grade security.

What you will do

  • Define the long-term testing strategy for Expert Research using Quality by Design and Automation by Default principles.
  • Close test coverage gaps across call scheduling, expert sourcing, compliance, transcript review, and client and expert portals.
  • Build scalable end-to-end automation and determine the appropriate unit, component, API, and end-to-end test layers.
  • Partner with developers on test planning and ensure automation is ready alongside new code.
  • Set quality metrics and release gates, test AI-powered interviews and call synthesis, and define methods for validating AI output.
  • Use AI tools to accelerate test design, maintenance, and triage, while coaching engineers on shift-left and quality-by-design practices.

Requirements

  • Hands-on end-to-end automation experience with Cypress or Playwright, with willingness to learn the other.
  • Strong programming skills in at least one of Ruby, TypeScript/JavaScript, Python, Kotlin, or Java, plus comfort working in unfamiliar codebases.
  • Excellent test design skills, including API testing and a deep understanding of testing theory.
  • Experience with unit and component testing frameworks such as RSpec or Vitest, and a clear understanding of how test layers fit together.
  • A track record of using AI tools to accelerate software delivery and testing.
  • Strong understanding of continuous delivery and release gating.
  • Experience setting up CI/CD pipelines and working with test management systems such as Allure TestOps, performance tools, and observability tools.
  • Ability to set direction independently without a dedicated QE team or manager, coach engineering teams on quality, and influence across multiple teams.
  • Strong communication skills with technical and non-technical stakeholders.

Nice to have

  • Experience testing complex, workflow-heavy web applications such as scheduling platforms, marketplaces, or admin tools.
  • Experience with compliance-sensitive products or sensitive data, including transcripts or restricted content.
  • Experience evaluating AI or LLM output.
  • Familiarity with Ruby on Rails or Vue.
  • BS or MS in a relevant technical field.

Culture & Benefits

  • Performance-based bonus may be offered in addition to base compensation.
  • Equity and a benefits program are available.
  • Equal-opportunity workplace committed to respect, inclusion, and reasonable accommodation.

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